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A powerful, easy to syntax for specifying and estimating complex Structural Equation Models. Models can be estimated using Partial Least Squares Path Modeling or Covariance-Based Structural Equation Modeling or covariance based Confirmatory Factor Analysis. Methods described in Ray, Danks, and Valdez (2021).
Version: | 2.3.4 |
Depends: | R (≥ 3.5.0) |
Imports: | parallel, lavaan, glue, knitr, testthat, rmarkdown, DiagrammeR (≥ 1.0.6), DiagrammeRsvg (≥ 0.1), webp |
Enhances: | rsvg (≥ 2.1), semPlot, vdiffr |
Published: | 2024-10-13 |
DOI: | 10.32614/CRAN.package.seminr |
Author: | Soumya Ray [aut, ths], Nicholas Patrick Danks [aut, cre], André Calero Valdez [aut], Juan Manuel Velasquez Estrada [ctb], James Uanhoro [ctb], Johannes Nakayama [ctb], Lilian Koyan [ctb], Laura Burbach [ctb], Arturo Heynar Cano Bejar [ctb], Susanne Adler [ctb] |
Maintainer: | Nicholas Patrick Danks <nicholasdanks at hotmail.com> |
BugReports: | https://github.com/sem-in-r/seminr/issues |
License: | GPL-3 |
URL: | https://github.com/sem-in-r/seminr |
NeedsCompilation: | no |
Materials: | README |
CRAN checks: | seminr results |
Reference manual: | seminr.pdf |
Vignettes: |
SEMinR (source, R code) |
Package source: | seminr_2.3.4.tar.gz |
Windows binaries: | r-devel: seminr_2.3.4.zip, r-release: seminr_2.3.4.zip, r-oldrel: seminr_2.3.4.zip |
macOS binaries: | r-release (arm64): seminr_2.3.4.tgz, r-oldrel (arm64): seminr_2.3.4.tgz, r-release (x86_64): seminr_2.3.4.tgz, r-oldrel (x86_64): seminr_2.3.4.tgz |
Old sources: | seminr archive |
Please use the canonical form https://CRAN.R-project.org/package=seminr to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.